AI-generated from public sourcesThe starting point for every profile: auto-generated by 0-Doubt from public vendor materials, and not yet confirmed by the vendor or an independent analyst. Nothing here is hidden or overstated — it simply has not been reviewed yet.Where every profile starts, before the vendor or an analyst has reviewed it. A higher label means a more independent source — not a better product.How trust works →Secure coding rating: 52/100How this score is computedA product with no known CVEs starts at a neutral score and climbs the longer it goes without one; a product with known CVEs is penalized by severity instead. This one has 0 known CVEs (vendor-level match — see the CVE list below) and is tracked as ~107 days old in our catalog (a stand-in for real release date, which we don't track). The platform admin controls the formula's weights.
GNN-based NDR platform for agentless threat detection across IT, IoT, and OT.
Hypergraph AI is a Next‑Gen Network Detection and Response platform that uses a proprietary Graph Neural Network foundation model to provide agentless threat detection across IT, IoT, and OT environments. It enables autonomous SOC operations by correlating network flows, detecting complex attack patterns, and reducing false positives through contextual precision, targeting mid‑large enterprises, medical IoT, and industrial legacy OT.
Strengths
99%+ threat detection accuracy without human experts
Agentless protection for IoT, OT, and legacy systems
Foundational GNN model pre‑trained on massive network traffic data for instant deployment
Contextual precision reduces false positives by understanding semantic relationships
Automates Level‑1 analyst tasks, eliminating the L1 bottleneck
Covers medical IoT security and industrial/legacy OT environments
Materials
0
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